Prof. Dr. Bernd Möller is a faculty member at Europa-Universität Flensburg, specializing in sustainable energy systems management for developing countries. His research focuses on renewable energy integration, spatial analysis, and environmental planning, leveraging GIS tools for energy system transformation. Current position: Professor at Department Energy and Environmental Management Alumni of Flensburg University of Applied Sciences and Aalborg University (PhD in Energy Planning) Research interests encompass wind/solar/biomass systems, energy atlas development, and climate-resilient infrastructure. His work bridges technology, economics, and spatial planning in renewable transitions. Publications highlight trends in offshore wind modeling, biomass logistics, district heating expansion, and GIS-driven energy solutions. Key themes include decarbonization, resource constraints, and regional energy equity. Teaching involves applied GIS science, energy planning frameworks, and development cooperation. He leads the PhD program in Energy and Environmental Management for Developing Countries.
Pierre Monnin is a Junior Fellow in AI at Université Côte d'Azur , conducting research within the Wimmics team at the I3S Laboratory . He also teaches within the EFELIA Côte d'Azur program. His work spans multiple institutions through funded projects like SHACKLE (EU Horizon), ECLADATTA and AT2TA (ANR), with collaborations at Télécom Paris , Università di Bari , and INESC-ID in Lisbon. Previous roles include temporary lecturer at TELECOM Nancy (2023-2024) and researcher at Orange (2020-2023). Research Interests focus on the knowledge graph lifecycle (construction, matching, refinement, mining, discovery) from neurosymbolic AI and analogical reasoning perspectives. He explores Domain knowledge injection into ML models Symbolic-semantics for graph embeddings Zero-shot bootstrapping techniques Context-aware semantic annotation Link prediction with constraint enrichment Life sciences applications Recent scientific awards include: Best Paper Award at ESWC 2024 (Student & Resource Papers) Best Thesis Award from French Association EGC (2022) 1st Prize (Accuracy Track) at Semantic Web Challenge (2021) His teaching portfolio covers AI fundamentals for foreign languages, marketing, and adult education programs, with specialized courses in Semantic Web technologies NoSQL databases XML tools Compiler implementation He supervises multiple PhD students and interns on topics involving neurosymbolic refinement , knowledge reconciliation , and analogical reasoning . Key software contributions include: KGPrune - Web application for thematic Wikidata subgraph extraction PyGraft - Synthetic knowledge graph generation tool DAGOBAH UI - Semantic table interpretation interface He also maintains datasets like PGxLOD and YAGO4-LP for pharmacogenomics and link prediction.
Jonathan Klassen is an Associate Professor in the Department of Molecular and Cell Biology / Microbiology at the University of Connecticut . His research focuses on microbial community ecology, particularly using the fungus-growing ant symbiosis as a model system to study the evolution of microbial interaction networks. He couples genomics and chemical biology to understand molecular mechanisms in symbiosis and explore drug discovery opportunities. PhD : Microbiology and Biotechnology, University of Alberta Postdoctoral Study : Bacteriology, University of Wisconsin-Madison His work spans microbial ecology, symbiosis, secondary metabolite discovery, and comparative genomics. Recent publications highlight studies on microbial exclusion dynamics in ant symbiosis, ITS2 metabarcode biases, and chemical defense mechanisms in insect-associated microbes. Scientific Awards : “Highly Accessed” article in BMC Genomics (2012) Contact : Email: jonathan.klassen@uconn.edu Phone: 860-486-6890 Lab: @klassenlab
Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.
Professor Allan Rennie serves as Professor in Manufacturing Engineering at Lancaster University's School of Engineering and holds the administrative position of Associate Dean for Engagement within the Faculty of Science and Technology. With a career spanning over 30 years since initiating work in additive manufacturing during the mid-1990s, he has established himself as a leading figure in industrial applications of advanced manufacturing technologies across diverse sectors. His research expertise centers on Additive Manufacturing , Engineering Design , and Manufacturing Process Optimization , with current specializations including design for additive manufacturing (as co-leader of the UK's EPSRC DfAM Network), industrial digitalisation of manufacturing processes, and innovative tooling development using metallic and hybrid approaches. Rennie has significantly contributed to Engineering Education , particularly examining the integration of business and management principles into engineering curricula and analyzing the impacts of online/hybrid delivery modes on student engagement and graduate employability following the COVID-19 pandemic. Recent publication trends reveal Rennie's dual focus on practical manufacturing applications and scholarly analysis of technological evolution. His 2025 bibliometric study maps a decade of Design for Additive Manufacturing research, while his structural analysis of musical instruments demonstrates cross-disciplinary applications of manufacturing techniques. These works reflect his commitment to both advancing manufacturing technology and documenting its academic trajectory through rigorous analysis. Professor Rennie actively supervises PhD candidates including Jenny Roberts, Eunike Sembiring, and Joe Taylor while leading substantial research projects such as the EPSRC DfAM Network (2020-2023), Automating Design for Additive Manufacture with AI (2023-2024), and multiple Engineers in Business Competitions. His extensive grant portfolio spans industrial digitalization, sustainable manufacturing, and educational innovation, with notable projects including RENDER (powder recycling), TecHnology and EntrepreneUrship Education, and Production Capable Additive Manufacturing of Polymers. Rennie contributes to Lancaster's research ecosystem through affiliations with the Centre for Global Eco-innovation, Energy Lancaster initiative, and the Lancaster Product Development Unit. These platforms enable him to bridge academic research with industrial applications across multiple sectors, particularly supporting his work on sustainable manufacturing practices, technology commercialization, and industry engagement strategies that translate research into real-world impact.
Bryan S. Graham is a Professor in the Department of Economics at the University of California, Berkeley, where he has held faculty positions since 2005, progressing from Assistant Professor to his current full Professor rank in 2017. His research focuses on the econometrics of social interactions and networks, with particular expertise in measuring the effects of stratification on inequality. He is an active member of the Inequality: Measurement, Interpretation, and Policy (MIP) Network and contributes significantly to the field of network econometrics. Professor Graham's educational background reflects exceptional academic achievement: B.A. in Quantitative Economics from Tufts University (1997), Summa Cum Laude, Phi Beta Kappa M.Phil. in Economics from Oxford University (2000) as a Rhodes Scholar Ph.D. in Economics from Harvard University (2005) His research program bridges theoretical econometric advances with practical applications to economic policy questions. Graham has pioneered methods for analyzing network data, identifying social interactions, and measuring segregation effects. His work appears in top journals including Econometrica, Review of Economic Studies, and Journal of Econometrics. He has authored the influential Handbook of Social Economics chapter on network econometrics and co-edited the comprehensive volume 'The Econometric Analysis of Network Data' (2020). Professor Graham's publications reveal a consistent focus on developing methodological tools for analyzing social networks and peer effects, with increasing sophistication in handling complex network structures and addressing identification challenges. His recent work has expanded into practical applications in education policy and spatial inequality while maintaining theoretical rigor in econometric methodology. His scientific contributions have been recognized through prestigious awards including election as Fellow of the International Association of Applied Econometrics (2023) and multiple competitive National Science Foundation grants totaling over $1 million. Early career recognition included the Rhodes Scholarship, Fulbright Scholarship, and National Science Foundation Graduate Fellowship. As an educator, Graham teaches undergraduate and graduate econometrics courses at UC Berkeley and has developed specialized short courses internationally on econometric methods for social spillovers and network data. He has served on numerous editorial boards including as Co-Editor of the Review of Economics and Statistics (2014-2019) and has organized major conferences including the Berkeley-Stanford Econometrics Jamborees. Beyond academia, he maintains active research affiliations with the National Bureau of Economic Research, Center for Evaluation and Development at the University of Mannheim, and the Human Capital and Economic Opportunity Working Group at INET.
Stephen E. Ralph is Professor and Glen Robinson Chair in Electro-Optics within Georgia Tech's School of Electrical and Computer Engineering, serving as Director of the Georgia Electronic Design Center (GEDC) and founder of the Terabit Optical Networking Consortium. His leadership spans cross-disciplinary research in electronics, photonics, and signal processing for revolutionary system performance. Educational background includes a BEE with highest honors from Georgia Tech (1980) and PhD in Electrical Engineering from Cornell University (1988), followed by postdoctoral work at AT&T Bell Laboratories and IBM Watson Research Center. His research integrates integrated photonics , machine learning , and aerospace applications to develop ultra-high-capacity optical communication systems. Current focus areas include photonic topology optimization, radiation-hardened space systems, and converged optical/mm-wave technologies, emphasizing the synergistic development of electronic-photonic components for next-generation interconnects. Analysis of 2024-2025 publications reveals dominant themes in foundry-compatible photonic design (topology optimization, inverse design), aerospace photonics (radiation testing, analog/digital signal transport), and machine learning applications for nonlinear equalization. The work bridges fundamental device engineering (grating couplers, waveguide bends) with system-level implementations for 5G/6G networks and space communications. Key recognition includes: Fellow of the Optical Society (OSA) Professor Ralph has mentored over 20 PhD students and secured significant research funding including the IUCRC Phase I EPICA project (2021) for aerospace photonic integration. His industry partnerships through the Terabit Optical Networking Consortium drive translational research in high-speed communications. He leads the Georgia Electronic Design Center's multidisciplinary team developing photonic-electronic co-design methodologies, with recent emphasis on topology-optimized devices for commercial foundries and radiation-tolerant systems for space applications.
Haipeng Luo is an Associate Professor at the Thomas Lord Department of Computer Science, University of Southern California, holding the IBM Early Career Chair. He previously worked as a Postdoctoral Researcher at Microsoft Research, NYC, and has held visiting roles at Google and Amazon. His research focuses on developing practical machine learning algorithms with strong theoretical guarantees, particularly in online learning, bandit problems, reinforcement learning, and game theory. PhD in Computer Science, Princeton University (2011–2016) BSc in Computer Science, Peking University (2007–2011) His work spans adversarial and stochastic environments, addressing challenges in reinforcement learning, game dynamics, calibration, and omniprediction. Recent publications highlight advancements in regret minimization, game equilibrium computation, and robust optimization frameworks. Key contributions include algorithms for zero-sum games, bandit problems with feedback graphs, and theoretical analyses of convergence properties in multi-agent systems. Scientific accolades include Best Paper Awards at COLT 2021, COLT 2018, NeurIPS 2015, and ICML 2015. He has received prestigious grants such as the NSF CAREER Award (2020), Google Faculty Research Award (2020), and NSF CRII Award (2018). His students have secured academic and industry positions, and he actively teaches graduate courses in machine learning and online optimization.
Professor Michael Dickmann is a distinguished academic at Cranfield School of Management, Cranfield University, where he serves as Professor of International Human Resource Management and Course Director for the Management MSc program. With extensive international experience spanning multiple continents and industries, Professor Dickmann brings both academic rigor and practical insights to his work in international business and human resource management. Professor Dickmann holds a first class honours degree in Economics from London University and an MSc in Industrial Relations and Personnel Management from LSE. His professional background includes work in Germany, Australia, the USA, Colombia, Spain and Britain, and he is fluent in English and Spanish, enabling cross-cultural research and consulting engagements. His scholarly focus centers on human resource strategies, structures and processes of multinational organizations, international mobility and global careers. Professor Dickmann's research examines career capital development, talent management systems, and the evolving nature of global assignments, with increasing attention to sustainability, mental health in the workplace, and paradigm shifts in global mobility accelerated by geopolitical tensions and the pandemic. His work bridges theoretical frameworks with practical applications in multinational contexts. As Senior Editor-in-Chief of The International Journal of Human Resource Management, Professor Dickmann significantly shapes scholarly discourse in the field. His extensive publication record demonstrates consistent engagement with evolving challenges in international HRM, including the organizational value of international assignments, career adaptability across borders, and the impact of institutional contexts on career pathways. Professor Dickmann maintains strong connections between academia and practice through consulting with major organizations across professional services (PricewaterhouseCoopers), industry (Siemens, Oracle), finance (HSBC, Deutsche Bank), and government/non-profit sectors (United Nations, WorldVision). This practical engagement informs his research and teaching, creating a valuable bridge between academic theory and organizational practice. His leadership as Course Director for the Management MSc program, combined with his editorial responsibilities and extensive publication record, positions Professor Dickmann as a significant contributor to the advancement of international human resource management knowledge and practice globally.
Dr. Ellen Peeters is an Associate Professor at the TIAS School for Business and Society , where she has served as Academic Director of the Pre-Master program since January 2022. She obtained her education in work and organizational psychology from: Ghent University (Belgium) KU Leuven (Belgium) - Ph.D. (2016) Her research integrates individual and organizational perspectives, with core themes including: Health & Education : Workforce well-being in healthcare settings. Management & Organisation : Change Management and HRM implementation Organizational Behavior and Development Leadership and Strategic Management Quantitative Methods : Business research methodologies. Cross-cutting focus on Corporate Social Responsibility , Sustainable Careers , Employability , and Resilience during organizational transitions. Her publications demonstrate consistent emphasis on career dynamics, HRM practices, and organizational justice, using mixed methods across healthcare, entrepreneurship, and industrial contexts. Recent work highlights resilience in career shocks, nursing self-scheduling impacts, and social capital in supply chains. She holds key academic roles: Editorial Board Member: Journal of Career Development Committee Representative: Society for Industrial and Organizational Psychology (Disability, Inclusion, Accessibility & Visibility)
Evy Rombaut serves as a postdoctoral researcher at the MOBI Electromobility Research Centre, Vrije Universiteit Brussel, specializing in Business Technology and Operations Management. Her research focuses on autonomous vehicle systems, sustainable transportation, and urban mobility optimization within the Flemish Institute for Technological Research ecosystem. Her primary research interests include autonomous vehicles (100% fingerprint match), logistics systems (24-28% focus), electric vehicle integration (22-31% emphasis), and vehicle-to-grid technology (28% focus). Her work bridges engineering and social sciences, particularly examining user acceptance (21% focus), traffic simulation modeling (22% focus), and job creation metrics (21% focus) in electromobility transitions. Rombaut actively supervises graduate research, with notable contributions to master's theses on autonomous vehicle environmental impacts and EU regulatory frameworks. Her current projects include AccelerationMOBI (2025-2029), DESTINY carbon reduction initiatives (2024-2029), and AUGMENTED CCAM infrastructure development (2022-2025), reflecting her leadership in European sustainable transport research consortia. She maintains active roles in PhD committees and conference organization, including the ACCAM Project Review Meeting (2024) and doctoral defenses on shared autonomous vehicle implementation. Her research output demonstrates consistent productivity with 43 publications since 2015, including 17 journal articles and 10 conference papers, achieving an h-index of 8 with 341 Scopus citations. Rombaut's work is centered at the MOBI Electromobility Research Centre, where she contributes to the Autonomous Mobility & Logistics research focus area. Her current projects involve multi-institutional collaborations across 8 active research initiatives examining vehicle-to-grid integration, urban mobility transitions, and carbon-neutral transport solutions through both fundamental and applied research frameworks.
Sophia Bano is an Assistant Professor in Robotics and Artificial Intelligence at the Department of Computer Science, University College London (UCL), since November 2022. She is affiliated with the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Surgical Robot Vision group, UCL Robotics Institute, and the Centre for Artificial Intelligence. Previously, she was a Senior Research Fellow at WEISS, contributing to the GIFT-Surg project. Her research focuses on AI-driven techniques for context awareness, navigation, and surgical robotics in minimally invasive procedures, including endoscopic workflow analysis, 3D reconstruction, and surgical vision systems. Education: BEng in Mechatronics Engineering (NUST, Pakistan), MSc in Electrical Engineering (NUST), MSc in Computer Vision and Robotics (Erasmus Mundus VIBOT), PhD from Queen Mary University of London and Technical University of Catalonia (Erasmus Mundus Fellowship). Post-doctoral work at University of Dundee (EPSRC ACE-LP project) and Imperial College London (ERC STING project). Research interests include computer vision for surgery, medical imaging, surgical robotics, and AI in healthcare. She leads the UKRI EPSRC-funded 'AI-enabled Decision Support in Pituitary Surgery' project and contributed to the GIFT-Surg and CARES projects. Publications span 3D reconstruction in fetoscopy, surgical workflow recognition, and AI models for medical imaging. Awards include the IJCARS-MICCAI Best Paper Award (2020) and the Best Innovation Award at the 2022 Surgical Robot Challenge. She organizes conferences like EndoVis and serves as a reviewer for journals like IEEE Transactions on Medical Imaging and MICCAI.
Munir Squires is an Assistant Professor at the Vancouver School of Economics , University of British Columbia. His research focuses on development economics and economic history , particularly kinship systems, cultural norms, and the socioeconomic effects of cousin marriage. Education: PhD from the London School of Economics Contact: Email: Munir.Squires@ubc.ca , Office: Iona Building 257 Research Interests: Dr. Squires examines how kinship structures influence economic outcomes, including taxation, growth, and cooperative behaviors. His work spans historical data analysis, cultural economics, and experimental studies in developing economies. Recent Publications: His research trends include analyzing kinship taxation in Kenyan microenterprises, health impacts of cousin marriage, and historical census data methodologies. He also explores the intersection of mobile money networks and traditional financial systems in Africa. Teaching: He instructs ECON 442 (Issues in Economic Development) , covering topics like global economic divergence, poverty, institutional impacts, and labor/credit market dynamics.
Prof. Michele Germani is a Full Professor at the Polytechnic University of Marche, Department of Industrial Engineering and Mathematical Sciences. His research focuses on ergonomics, sustainability, and human-centered design, with particular emphasis on industrial automation, wearable technologies, and circular economy principles. He leads projects on ergonomic risk assessment, environmental impact modeling, and smart manufacturing systems. Academic Background: Holds a position in the Faculty of Engineering, contributing to both teaching and research. His work integrates machine learning, sensor-based systems, and virtual reality to address challenges in manufacturing, healthcare, and sustainable design. Research Interests: Prof. Germani explores topics such as design for disassembly, eco-design tools, and the application of advanced technologies (e.g., exoskeletons, cobots) to enhance workplace safety and efficiency. His studies often bridge engineering and environmental science, aiming to reduce carbon footprints through innovative design methodologies. Key Projects: Development of decision support systems for fall risk detection, sensor-based ergonomic evaluation tools, and frameworks for circular economy implementation. He also investigates the impact of Industry 4.0 technologies on workforce dynamics and operator training via mixed reality simulations. Grants & Collaborations: Engaged in interdisciplinary collaborations focusing on sustainable manufacturing, healthcare technology, and smart systems. His research has led to tools like Durabot for durability analysis and Greenbuild for green building design. Labs & Teams: Oversees labs developing eco-design strategies, human-robot collaboration systems, and ergonomic assessment protocols, with a focus on real-world industrial applications.
Dr. Jessica Grosholz is an Associate Professor in the Department of Criminology at the University of South Florida's Sarasota-Manatee campus. She holds leadership roles as Campus Chair, Director of the Masters in Criminal Justice program, and Research Administration Faculty Fellow. Research Interests: Dr. Grosholz specializes in prisoner reentry, recidivism, health-crime intersections, human trafficking, and qualitative field research. Her work often examines marginalized populations, including LGBTQ+ individuals, older prisoners, and Latinx communities, while addressing systemic issues in corrections and public policy. Recent Publications (2023-2025): Her research explores diverse topics such as white supremacist music, prison reforms in Panama, health disparities among incarcerated populations, employment barriers for formerly incarcerated individuals, and gendered dynamics of strain theory. These works reflect interdisciplinary approaches bridging criminology, public health, and cultural studies. Awards: USF Sarasota-Manatee Student Government Association Outstanding Professor Award (2018) Faculty Senate Excellence in Community Engagement Award (2018) University-wide Outstanding Community-Engaged Teaching Award (2020)
